Journal
of Space Technology (JST)

·The
GA-ANN expert system for mass-model classification of TSTO surrogates

Aerospace
Science and Technology, Elsevier Inc. USA

September 2015

doi:10.1016/j.ast.2015.09.005
A hybrid-heuristic machine learning methodology, based on hybrid genetic algorithm
(GA) and artificial neural network (ANN) data classification methods is
proposed as an expert system for assessing viability of surrogates of a
two-stage-to-orbit (TSTO) vehicle.